Bibliographic record
Abstract
To many, John Rae's main claim to fame has been that it was he who first broke the news of the fate of the Royal Navy's missing Franklin expedition, based on information he had garnered from the Inuit of Pelly Bay and Repulse Bay in 1854.His report was supported by assorted items, identifiable as the possessions of members of that expedition that he had recovered from the Inuit.But the full range of Rae's accomplishments is much more extensive and impressive.John Rae was born on September 30, 1813, at the Hall of Clestrain, across the Bay of Ireland from the town of Stromness, Orkney.He was the sixth child and fourth son of John Rae and Margaret Glen Rae.His father hailed from the Orkney island of Wyre, and was the factor (land agent) for Sir William Honeyman, Lord Armadale, with the quite substantial salary of £80 per year, plus significant perquisites.1 John and his brothers were tutored at home and enjoyed a comprehensive education.Beyond this, they enjoyed what many boys would consider an idyllic childhood.At a young age, John learned to hike, climb, hunt, fish, and sail, and was inured to the often wet, cold, windy weather of the islands.These skills and attributes represented an ideal training for the career that followed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.600 | 0.419 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".